How Perplexity's RAG Changes Your Prompt Strategy

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Full Story w/ Prompts: https://natesnewsletter.substack.com/p/unlocking-perplexitys-power-proven?r=1z4sm5&utm_campaign=post&utm_medium=web&showWelcomeOnShare=true
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What’s really happening inside AI search with Perplexity’s RAG?
The common story is that ChatGPT search and Perplexity search are the same thing — but the reality is more complicated.

In this video, I share the inside scoop on using Perplexity for internet research and prompt engineering:
• Why Perplexity’s RAG and research mode enable agentic search.
• How prompting differs: short context, no few-shot, exact filters.
• What to demand: multiple perspectives, citations, output constraints.
• Where to push next: focus modes, Spaces, Labs, iterative deepening.

Chapters:
00:00 Understanding Perplexity: The AI Native Search Engine
02:35 Prompting Strategies for Effective Searches
07:09 Advanced Techniques for Optimizing Search Results
09:52 Practical Examples of Perplexity in Action
13:46 Navigating Hallucinations and Ensuring Accuracy
16:45 The Importance of Perplexity in the Age of AI

For operators and teams, Perplexity gives recency and transparent sourcing, but you still need citation checks and a double-LLM cross-check to manage hallucinations.
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